6.2 KiB
🌟 FAQ for New Stargazers — Welcome to the Constellation of WFGY
Thank you for joining us — every star here shines because someone like you believed in reasoning beyond the ordinary.
Whether you're curious, confused, or just landed from the front page — here's where your journey begins.
Welcome — and congrats on stumbling into the strangest GitHub repo you’ll bookmark this year.
This page is your guide to what WFGY is, what TXT OS does, and where to start.
🧠 What is WFGY?
WFGY (萬法歸一) is a modular semantic reasoning engine designed to solve the kinds of logic, memory, and abstraction problems that traditional LLMs often fail at.
It’s not a wrapper, not a plugin, and not just a prompt trick — it's a full semantic loop architecture with real math under the hood (ΔS ≈ 0.5).
🖥️ What is TXT OS?
TXT OS is a new kind of AI operating system — powered entirely by .txt files.
It uses the WFGY engine under the hood to keep everything stable, logical, and expressive.
Each TXT file becomes a callable “module” with reasoning behavior — like apps, but built from semantic blueprints.
🧩 What can I run today?
You can try these modules now — all part of TXT OS:
| Module | Function | Status |
|---|---|---|
| Blah Blah Blah | Semantic Q&A (Literal + Abstract) | ✅ Lite Released |
| Blur Blur Blur | Image Generation (Stable + Poetic) | ✅ Lite Released |
| Blow Blow Blow | AI Reasoning RPG Games | 🔜 Coming Aug |
| Blot Blot Blot | Humanlike Writing & Persona | 🧪 In Dev |
| Bloc Bloc Bloc | Prompt Injection Firewall | 🧪 In Dev |
All modules are stackable — you can call them inside each other to build bigger apps, powered by nothing but .txt.
🗺️ Want to know what problems we already solved?
We’re building a public Problem Map that matches every real-world AI failure to a WFGY-based fix.
| Symptom | Fix |
|---|---|
| Hallucination | ✅ ΔS Drift Control |
| Broken Memory | ✅ State Persistence Layer |
| Overconfident Answers | ✅ Bluff Filter |
| Symbolic Confusion | ✅ Logical Anchoring |
✅ Is this real? Do people actually use it?
Yes — and we track every real-world rescue in the Hero Log.
We’ve helped users debug everything from broken RAG to symbolic math errors.
Some of the results surprised even us.
Also: we’re backed by the creator of Tesseract.js and many open-source engineers.
🚦 Where should I start?
- Try TXT-Blur — no skills needed, results are uncanny.
- Read the Problem Map — see if we solved your headache.
- Watch the Hero Logs — real people, real bugs, real logic.
- Bookmark this page. We’re updating fast — and not always tweeting it.
💬 Still confused?
Good. That means you’re early.
The best way to understand WFGY is to try one module, read the output, and ask:
“Wait... how the hell did it do that?”
🧭 Explore More
| Module | Description | Link |
|---|---|---|
| Semantic Blueprint | Layer-based symbolic reasoning & semantic modulations | View → |
| Benchmark vs GPT‑5 | Stress test GPT‑5 with full WFGY reasoning suite | View → |
👑 Early Stargazers: See the Hall of Fame —
Engineers, hackers, and open source builders who supported WFGY from day one.
⭐ Help reach 10,000 stars by 2025-09-01 to unlock Engine 2.0 for everyone ⭐ Star WFGY on GitHub
